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applications, data collection, and dissemination. The role will involve qualitative research such as discourse analysis, interviews, participatory workshops with carers and stakeholders, and data coding
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loads in power system dynamics and stability as system strength continues to decline. Building on existing frameworks such as the WECC Composite Load Model (CLM), you will develop and validate data-driven
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equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following
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Location:Hammersmith/Brompton campus (TBD) About the role: You will be collecting, analysing, and presenting data throughout the study informing the intervention and app and contributing directly to
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partners in African countries where An. stephensi has been detected to co-develop and implement the analysis plan for their data sets on mosquito vector ecology, dynamics and behaviour. You will use results
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organisational, communication, and interpersonal skills. You will bring: Strong experience applying AI methods to complex data, ideally healthcare data A record of high-quality publications and presentations
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for hardware control and data visualization. • Experience in working in wet-lab environment and/or dealing with food samples • Industry experience in product development and/or in vitro diagnostics is highly
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, as well as for their babies. You will work with large, complex datasets from national surveys and routinely collected health data to support impactful research. You will manage your own research
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skills in running large scale NLP models (e.g. BERT, GPT) for financial text analysis. The candidate shall have strong research skills of using LLM-based models for firms financial Information summary
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Candidates are required to undertake two secondments abroad, one academic and one non-academic, of between two and six months duration For further information on eligibility criteria and on Marie Skłodowska